huggingface / huggingface/diffusers
SD3 latents error 'tuple' object has no attribute 'to' issue on stable_diffusion_3/pipeline_stable_diffusion_3.py
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- Python
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- マージ済み PR(30日)
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説明
script to produce:
```
image = pipe(prompt="", negative_prompt="", guidance_scale=1.,
num_inference_steps=20, latents=inv_latents)
```
inv_latents value print:
```
(tensor([[[[-0.8428, -0.8203, -0.8325, ..., -0.8325, -0.8706, -0.8521],
[-0.8511, -0.7632, -0.8467, ..., -0.8008, -0.8745, -0.7905],
[-0.8369, -0.8174, -0.8281, ..., -0.8462, -0.8765, -0.8521],
...,
[-0.8110, -0.7686, -0.8145, ..., -0.7793, -0.8638, -0.7783],
[-0.8770, -0.8442, -0.8525, ..., -0.8672, -0.8745, -0.8862],
[-0.8252, -0.7676, -0.8247, ..., -0.7769, -0.8599, -0.7729]],
[[ 0.2629, 0.2347, 0.2681, ..., 0.2496, 0.2795, 0.2344],
[ 0.2366, 0.1709, 0.2303, ..., 0.1785, 0.2410, 0.1726],
[ 0.2622, 0.2383, 0.2644, ..., 0.2512, 0.2844, 0.2454],
...,
[ 0.2448, 0.1589, 0.2306, ..., 0.1731, 0.2385, 0.1768],
[ 0.2634, 0.2157, 0.2786, ..., 0.2510, 0.2832, 0.2466],
[ 0.2473, 0.1547, 0.2256, ..., 0.1705, 0.2375, 0.1667]],
[[-0.4492, -0.3923, -0.4451, ..., -0.3835, -0.4512, -0.3704],
[-0.5542, -0.5742, -0.5522, ..., -0.5449, -0.5347, -0.5562],
[-0.4590, -0.3870, -0.4697, ..., -0.3794, -0.4258, -0.3694],
...,
[-0.5405, -0.5596, -0.5337, ..., -0.5293, -0.5293, -0.5337],
[-0.4358, -0.3608, -0.4524, ..., -0.3442, -0.4343, -0.3508],
[-0.5317, -0.5728, -0.5352, ..., -0.5469, -0.5273, -0.5386]],
...,
[[ 1.6729, 1.7832, 1.6689, ..., 1.7676, 1.6572, 1.7568],
[ 1.8535, 1.8691, 1.8604, ..., 1.8613, 1.8760, 1.8320],
[ 1.6816, 1.7891, 1.6729, ..., 1.7812, 1.6787, 1.7559],
...,
[ 1.8281, 1.8496, 1.8311, ..., 1.8311, 1.8359, 1.8086],
[ 1.6758, 1.7832, 1.6523, ..., 1.7500, 1.6406, 1.7402],
[ 1.8066, 1.8389, 1.8398, ..., 1.8281, 1.8359, 1.8008]],
[[ 1.6436, 1.6270, 1.6504, ..., 1.6289, 1.6533, 1.6240],
[ 1.7275, 1.6943, 1.7227, ..., 1.6904, 1.7334, 1.6826],
[ 1.6406, 1.6191, 1.6465, ..., 1.6240, 1.6553, 1.6162],
...,
[ 1.7012, 1.6816, 1.7080, ..., 1.6553, 1.7100, 1.6465],
[ 1.6611, 1.6299, 1.6641, ..., 1.6289, 1.6572, 1.6367],
[ 1.7070, 1.6729, 1.7031, ..., 1.6494, 1.7197, 1.6436]],
[[ 1.5859, 1.5527, 1.5752, ..., 1.5586, 1.5547, 1.5557],
[ 1.5332, 1.6621, 1.5391, ..., 1.6641, 1.4902, 1.6748],
[ 1.5674, 1.5596, 1.5684, ..., 1.5479, 1.5439, 1.5547],
...,
[ 1.5156, 1.6367, 1.5176, ..., 1.6611, 1.4619, 1.6660],
[ 1.5566, 1.5576, 1.5693, ..., 1.5518, 1.5439, 1.5420],
[ 1.5137, 1.6328, 1.5205, ..., 1.6514, 1.4697, 1.6602]]]],
device='cuda:0', dtype=torch.float16),)
```

コントリビューションガイド
調査の方向性
Start in stable_diffusion_3/pipeline_stable_diffusion_3.py and reproduce the reported call with the provided latents value. Trace how the pipeline handles latents and confirm that the call no longer raises the reported tuple attribute error.
索引モデルが issue の本文から書いたものです。
評価
- 技術スタック
- python, pytorch
- 領域
- machine-learning
- issue の種類
- バグ
- 難易度
- 2/5
- 見積もり時間
- 1〜3時間
- 活発さ
- 停滞
- 明瞭さ
- おおむね明確
- 初心者へのやさしさ
- 35/100